Quickly Engages in Applying Algorithmic Techniques to SolvePractical Signal Processing ProblemsWith its active, hands-on learning approach, this text enablesreaders to master the underlying principles of digital signalprocessing and its many applications in industries such as digitaltelevision, mobile and broadband communications, andmedical/scientific devices. Carefully developed MATLAB®examples throughout the text illustrate the mathematical conceptsand use of digital signal processing algorithms. Readers willdevelop a deeper understanding of how to apply the algorithms bymanipulating the codes in the examples to see their effect.Moreover, plenty of exercises help to put knowledge into practicesolving real-world signal processing challenges.Following an introductory chapter, the text explores:Sampled signals and digital processingRandom signalsRepresenting signals and systemsTemporal and spatial signal processingFrequency analysis of signalsDiscrete-time filters and recursive filtersEach chapter begins with chapter objectives and an introduction.A summary at the end of each chapter ensures that one has masteredall the key concepts and techniques before progressing in the text.Lastly, appendices listing selected web resources, research papers,and related textbooks enable the investigation of individual topicsin greater depth.Upon completion of this text, readers will understand how toapply key algorithmic techniques to address practical signalprocessing problems as well as develop their own signal processingalgorithms. Moreover, the text provides a solid foundation forevaluating and applying new digital processing signal techniques asthey are developed.